Comments (7)
You just need to recompile the Cpp code yourself and it will work (I have tested the Gemma models already)
Note that in general you can't just recompile an up-to-date version of llama.cpp and use it with LLamaSharp. llama.cpp is constantly making small breaking changes to their API, so almost every update of the binaries requires a bit of tweaking to the C# binding layer.
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Gemma is a very new model format that's not supported in LLamaSharp yet. Support was added to llama.cpp yesterday, we'll hopefully upgrade our version within a month or so :)
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Hi @zddtpy, I had a similar error when I followed the steps on https://github.com/SciSharp/LLamaSharp?tab=readme-ov-file#installation
In my case the error was resolved by removing the "cuda" package and installing the "cpu" one instead.
emm.maybe i have install the "cpu",but not work
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Gemma is a very new model format that's not supported in LLamaSharp yet. Support was added to llama.cpp yesterday, we'll hopefully upgrade our version within a month or so :)
looking forward to you
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There is no special code needed in LLamaSharp for Gemma to work. You just need to recompile the Cpp code yourself and it will work (I have tested the Gemma models already).
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Hi @zddtpy, I had a similar error when I followed the steps on https://github.com/SciSharp/LLamaSharp?tab=readme-ov-file#installation
In my case the error was resolved by removing the "cuda" package and installing the "cpu" one instead.
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As as aside, this seems to be a pretty common error message. It comes up in a lot of issues...
It may be helpful to catch this error and provide a more descriptive message of what may have gone wrong. Maybe pointing users to a URL with "things to try" would be helpful.
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Related Issues (20)
- Nuget references both CPU and CUDA simultaneously HOT 2
- Thread Safety in llama.cpp HOT 1
- Llama.web app published into iis windows 64bit server, after deployment model values not loaded from appsettings HOT 3
- Not able to read fields from appsetings.json HOT 3
- Examples don't run with CUDA12 HOT 17
- Consider adding Windows on ARM build of llama.dll to LLamaSharp.Backend.Cpu HOT 4
- Drastic CUDA compute speed drop in last version HOT 13
- Build CUDA with AVX HOT 2
- Fatal error. System.Runtime.InteropServices.SEHException HOT 32
- Godot game engine example HOT 7
- how to prevent the llama from completing requests HOT 1
- about NVidia GPU use example HOT 4
- SemanticKernel ChatCompletion is Stateless HOT 5
- Segmentation fault on Docker HOT 2
- [LLamaSharp.Backend.Cuda12 v0.10.0] Unable to load the model onto multiple GPUs HOT 3
- Unable to use lora in llamasharp but can use it in llama.cpp HOT 8
- AMD GPUs Support
- Exception error when sending any prompts. HOT 7
- Parallel Inferencing? HOT 27
- Information on new important updates in llama.cpp HOT 1
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